Temporal-spatial gait parameter models of very slow walking

Smith, Andrew; Lemaire, Edward D.

doi:10.1016/j.gaitpost.2018.01.003

Cited by 32 publications

(32 citation statements)

References 28 publications

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“…Walking speed has a large effect on temporal and spatial parameters of walking and hence is considered a significant parameter in this model for a number of reasons. Firstly, numerous studies have characterised relationships between walking speed and stride-length, step-length, step-width, and pacing frequency [16,17]. Secondly, pedestrians naturally walk at different velocities that in an effortless way increase or decrease pacing frequency and spatial parameters [17].…”

Section: Key Parameters For the Walking Stepmentioning

confidence: 99%

Probabilistic Multiple Pedestrian Walking Force Model including Pedestrian Inter‐ and Intrasubject Variabilities

Muhammad

Reynolds

2020

Advances in Civil Engineering

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A probabilistic walking load model that accounts for inter- and intrasubject variabilities has been developed to generate synthetic vertical load waveforms induced by pedestrians. The mathematical model is based on a comprehensive database of continuously recorded pedestrian walking forces on an instrumented treadmill, having a wide range of walking frequencies. The proposed model is able to replicate temporal and spectral features of real walking forces, which is a significant advantage over conventional Fourier series models. The load model results in more realistic force time histories than previous models, since it incorporates significant components of the spectra that are omitted in Fourier series approaches. The proposed mathematical model can be implemented in vibration serviceability assessment of civil engineering structures, such as building floors and footbridges, to estimate more realistically dynamic structural responses due to people walking.

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Section: Key Parameters For the Walking Stepmentioning

confidence: 99%

Probabilistic Multiple Pedestrian Walking Force Model including Pedestrian Inter‐ and Intrasubject Variabilities

Muhammad

Reynolds

2020

Advances in Civil Engineering

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“…Observation of these changes in characteristics of the walking pattern at speeds below 0.5 m/sec led to the suggestion that very slow walking may constitute a different motor program. (Leiper and Craik 1991;Smith and Lemaire 2018) Here we investigated whether walking at very slow speed simply involves decreased magnitude of the walking pattern or altered coordination thus suggesting a distinctly different gait pattern.…”

Section: Is Slow Walking a Different Behavior?mentioning

confidence: 99%

“…(Lehmann et al 1987;Chen et al 2005;Little, McGuirk, and Patten 2014) However, it has been suggested that very slow walking (<0.4-0.5 m/sec) may be a unique motor behavior utilizing a different control strategy than walking at comfortable walking speeds. (Leiper and Craik 1991;Smith and Lemaire 2018) If this were the case, speed-matching for biomechanical studies may not always be appropriate. Furthermore, if very slow walking is a unique behavior, then contrary to common thought, individuals working to recover walking ability after neurologic injury, such as a stroke or spinal cord injury, may be confronted with learning a new motor behavior rather than re-learning a well-practiced motor task.…”

Section: Introductionmentioning

confidence: 99%

“…(Kirtley, Whittle, and Jefferson 1985;Oberg, Karsznia, and Oberg 1994;Shemmell et al 2007) Indeed, when spatiotemporal characteristics of gait have been investigated at very slow gait speeds, the relationship between temporal characteristics and gait speed have been found to differ between very slow and comfortable gait speeds. (Smith and Lemaire 2018) It seems reasonable to posit that coordination at very slow gait speeds may also differ from the coordination used at typical or comfortable walking speeds. However, this question remains to be systematically investigated and is the purpose of our study.…”

Section: Introductionmentioning

confidence: 99%

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Inter-joint and temporal coordination change in very slow walking

Little

McGuirk

Patten

2019

Preprint

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Purpose: Very slow walking has been suggested to be a distinctively different motor behavior than walking at comfortable gait speeds. While kinematic and spatiotemporal gait parameters are known to scale with gait speed, inter-joint coordination during swing remains consistent, at least across comfortable speeds. The purpose of this study was to determine whether coordination patterns serving limb clearance and shortening differ with very slow walking, providing additional support for the premise that very slow walking represents a unique motor behavior. Methods:We assessed nine healthy adults walking overground at their self-selected speed and two-tothree progressively slower speeds. We collected lower extremity kinematics with 3D motion analysis and quantified joint motion contributions to limb clearance and shortening. We investigated changes in coordination using linear mixed models to determine magnitude and timing differences of joint influence across walking speeds.Results: Hip and knee influences serving limb clearance reduced considerably with slower walking speeds. Similarly, knee influence on limb shortening reduced with very slow walking. Importantly, ankle influence remained unchanged across gait speeds for limb shortening and reduced subtly for limb clearance. Temporally, joint influences on limb clearance varied across walking speeds. Specifically, the temporal order of peak hip and knee influences reversed between comfortable and very slow walking. For limb shortening the timing of ankle influence remained unchanged while the timing of knee influence occurred later in the gait cycle for slower walking speeds. Conclusions:Our results demonstrate temporal coordination and the relative joint contributions serving limb clearance and shortening differ with very slow walking providing additional evidence that slow walking may be a behavior distinct from walking at comfortable speeds.

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“…There have been performed numerous studies focused on measuring spatio-temporal, kinematics and kinetics parameters associated to human gait [6]. Results are highly influenced by the individual gait pattern, respectively the walking speed [3,7]. Our previous research was focused on measuring and computing kinematical parameters (absolute and relative angles) based on experimental data associated to healthy and pathological gait [5].…”

Section: Introductionmentioning

confidence: 99%

Analytical model for computing translational and rotational angular momentum occurring in treadmill walking

Stoia

Totorean

2019

ITM Web Conf.

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The kinematical modifications of human gait associated with treadmill walking are well studied in the literature. Fewer researches are focusing on computing the dynamical parameters of the gait, in this particular situation. Starting from kinematical data recorded in treadmill walking, the paper proposes an analytical model of the lower limbs that allows computation of translational and rotational angular momentum for each segment. The experimental data used in the study were recorded using ultrasound based, 3D motion equipment. By mean of this system, relative and absolute angles of the lower limb can be computed using Cartesian coordinates of each anatomical landmark. The velocities and accelerations were obtained by numerical derivative. In order to compute the dynamical parameters, segment masses and inertias were collected from the literature. The masses are based on percentage of total body weight while the segment inertias are based on geometrical characteristics of lower limb segments.

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Temporal-spatial gait parameter models of very slow walking

Cited by 32 publications

References 28 publications

Probabilistic Multiple Pedestrian Walking Force Model including Pedestrian Inter‐ and Intrasubject Variabilities

Probabilistic Multiple Pedestrian Walking Force Model including Pedestrian Inter‐ and Intrasubject Variabilities

Inter-joint and temporal coordination change in very slow walking

Analytical model for computing translational and rotational angular momentum occurring in treadmill walking

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